Inspired by [1]}, our work explores more flexible spaces of non-constant sectional curvature.
Our approach fits in the area of Riemannian manifold learning [2]}. It resembles the study of Grassmannian manifolds and the space of positive definite matrices [3]}. Moreover, we add a new layer of structure by considering embeddings into manifolds modeled on the complex numbers \(, which provide us with a wider operational framework and closed-form expressions.\)
